Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys

By Man-Lai Tang and Guo-Liang Tian

Book Overview

A self-contained, systematic introduction, this book shows you how to draw valid statistical inferences from survey data with sensitive characteristics. It guides you in applying the non-randomized response approach in surveys and new non-randomized response designs. The techniques covered integrate the strengths of existing approaches, including randomized response models, incomplete categorical data design, the EM algorithm, the bootstrap method, and the data augmentation algorithm. All R codes for the examples are available online.

• Format: Paperback
• Language: English
• ISBN: 0367379627
• ISBN13: 9780367379629
• Release Date: October 2019
• Publisher: CRC Press
• Length: 322 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.9" x 6.3" x 9.2"